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SUMMARY:Information Theory\, Codes\, and Compression - Christian Steinruec
 ken (University of Cambridge)
DTSTART:20180301T133000Z
DTEND:20180301T150000Z
UID:TALK94243@talks.cam.ac.uk
CONTACT:Alessandro Davide Ialongo
DESCRIPTION:\nInformation Theory and Machine Learning are intimately relat
 ed fields\, and perhaps two sides of the same coin. This tutorial gives a 
 basic introduction to information theory and code construction\, and shows
  how Bayesian inference can be used to solve some interesting problems in 
 communication. A special focus will be on Bayesian approaches to data comp
 ression\, randomness\, and the relation to perfect sampling algorithms.\n\
 nThe talk aims to be fairly accessible and easy to follow.\nNo advance rea
 ding is required. 
LOCATION:Engineering Department\, CBL Room 438
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